P8105 Project Proposal

Squirrels are everywhere, but is there a trend of where they prefer to stay with respect to their color, age, activities and all other features? Doing an analysis using squirrel census data may answer the question. Based on the results of the investigation we can compile relevant charts and make reasonable exploits, prevention or prediction based on information about squirrel habitat and activity patterns in Central Park.

A written report summarizing results of investigations
A webpage containing motivation, introduction, questions and analyses, visualizations with interpretations and explanations (tables, graphs, interactive map, etc.), discussion, conclusions and next steps, limitations, and references.
Reasonable usage scenarios for the website can be provided, for instance: Sometimes we might want to have a picnic or an event in Central Park but don’t want to be disturbed by a ton of squirrels. Based on our results, a location with less squirrels could be discovered as the venue. Researchers who want to collect data related to squirrel habits can accurately find the location of squirrels and related data through our results. Or he can directly extract and reference useful information about correlation of relationships between specific behaviors and age or color from our results.
A video introducing our webpage in details

analyses: Find location distribution of squirrels in Central Park in 2018. Analyze the frequency for squirrel sightings by different fur colors. Investigate the relationship of behavior observation and age & fur of squirrels. ANOVA Test/ T-test- whether behavior are associated with age & fur of squirrels Construct data model to predict the behavior/habitat of a specific squirrel
visualizations: Interactive map: Relative habitat of the squirrels in Central Park that match the filter Scatter Plot (Smooth): Whether specific behaviors of squirrels generate (increase) trends according to age Plot: Does the combination of squirrel’s fur color produce a certain regularity of habitat or cluster effect?
coding challenges: some information needs to be further interpreted in the raw dataset. For example, in the column of “Above Ground Sighter Measurement”, some entries are ‘FALSE’ or blank. Also, in the column of “Hectare”, what different entries represent for and how do we visualize it?

Date	Task	Due
Nov 3	Brainstorming	NA
Nov 10	Finishing and submitting proposal	Nov 13
Nov 15-18	Discuss about project validity	Nov 18
Nov 19	Start coding!	NA
Nov 25	Progress review meeting and troubleshooting	Dec 10
Dec 1	Finishing coding part and starting website part	Dec 10
Dec 3	Finishing building website	Dec 10
Dec 6	Making screencast	Dec 10
Dec 15	Presentation	Dec 15